Demand forecasting: a review on qualitative methods and surveyed done by delphi technique

Over the past decades a majority of tourism researchers have published many papers that reviewed demand forecasting methodologies. But most of them have concentrated on quantitative methods rather than qualitative methods and there is a huge gap in qualitative demand forecasting research. In this re...

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Main Author: Hairul Nizam, Ismail
Format: Conference or Workshop Item
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/34290/
http://staff.estem-uc.edu.au/taipham/files/2013/01/Demand_Forecasting_Beijing-libre.pdf
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spelling my.utm.342902017-09-26T01:59:13Z http://eprints.utm.my/id/eprint/34290/ Demand forecasting: a review on qualitative methods and surveyed done by delphi technique Hairul Nizam, Ismail HA Statistics Over the past decades a majority of tourism researchers have published many papers that reviewed demand forecasting methodologies. But most of them have concentrated on quantitative methods rather than qualitative methods and there is a huge gap in qualitative demand forecasting research. In this review, the authors have placed emphasizes on qualitative demand forecasting methods by using previous literature and new findings in recent years, specially published studies on tourism demand modeling and forecasting up to 2010. This paper tries to have a comprehensive look at Delphi method‟s definitions and examples conducted by different authors. The advantages and disadvantages of Delphi technique are considered and the accuracy of previous Delphi studies surveyed.The review also includes a clear view of qualitative demand methods comprising the Delphi Model, Judgment-Aided Model and Traditional Approaches. 2013 Conference or Workshop Item PeerReviewed Hairul Nizam, Ismail (2013) Demand forecasting: a review on qualitative methods and surveyed done by delphi technique. In: Conference. http://staff.estem-uc.edu.au/taipham/files/2013/01/Demand_Forecasting_Beijing-libre.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HA Statistics
spellingShingle HA Statistics
Hairul Nizam, Ismail
Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
description Over the past decades a majority of tourism researchers have published many papers that reviewed demand forecasting methodologies. But most of them have concentrated on quantitative methods rather than qualitative methods and there is a huge gap in qualitative demand forecasting research. In this review, the authors have placed emphasizes on qualitative demand forecasting methods by using previous literature and new findings in recent years, specially published studies on tourism demand modeling and forecasting up to 2010. This paper tries to have a comprehensive look at Delphi method‟s definitions and examples conducted by different authors. The advantages and disadvantages of Delphi technique are considered and the accuracy of previous Delphi studies surveyed.The review also includes a clear view of qualitative demand methods comprising the Delphi Model, Judgment-Aided Model and Traditional Approaches.
format Conference or Workshop Item
author Hairul Nizam, Ismail
author_facet Hairul Nizam, Ismail
author_sort Hairul Nizam, Ismail
title Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
title_short Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
title_full Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
title_fullStr Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
title_full_unstemmed Demand forecasting: a review on qualitative methods and surveyed done by delphi technique
title_sort demand forecasting: a review on qualitative methods and surveyed done by delphi technique
publishDate 2013
url http://eprints.utm.my/id/eprint/34290/
http://staff.estem-uc.edu.au/taipham/files/2013/01/Demand_Forecasting_Beijing-libre.pdf
_version_ 1643649555695140864
score 13.209306